In the context of Covid-19 pandemic simulation, several works have attempted to study the spread of infections as a function of social interactions among individuals of a city. For such modeling of social interactions, various aspects of a city such as the family structures, residences, workplaces, spaces of social interactions etc can be represented at different levels of complexity or detail. Several works like [1]}, [2]}, [3]} have developed such models for simulation of the pandemic
This work uses the ABM developed in [4]} to compare the performance of the Neural Network-based emulators in predicting the outcomes of the counterfactual scenarios studied in the paper.
